Rongyao Cai - RankMe

13 papers Misc 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KFS: KAN based adaptive frequency selection learning architecture for long-term time series forecasting. Adv. Eng. Informatics Changning Wu, Gao Wu, Rongyao Cai, Yong Liu, Kexin Zhang
2026	J	`jnl`	Parallel Complex Diffusion for Scalable Time Series Generation. CoRR Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Zhiqiang Ge, Qingsong Wen, Yong Liu
2026	J	`jnl`	QuitoBench: A High-Quality Open Time Series Forecasting Benchmark. CoRR Siqiao Xue, Zhaoyang Zhu, Wei Zhang, Rongyao Cai, Rui Wang, Yixiang Mu, Fan Zhou, Jianguo Li, Peng Di, Hang Yu
2025	J	`jnl`	Adversarial Multimodal Contrastive Learning for Robust Industrial Fault Diagnosis. IEEE Trans. Instrum. Meas. Rongyao Cai, Kexin Zhang, Hanchen Tai, Yang Zhou, Yuanyuan Ding, Chunlin Zhou, Yong Liu
2025	J	`jnl`	From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation. CoRR Rongyao Cai, Ming Jin, Qingsong Wen, Kexin Zhang
2025	J	`jnl`	KFS: KAN based adaptive Frequency Selection learning architecture for long term time series forecasting. CoRR Changning Wu, Gao Wu, Rongyao Cai, Yong Liu, Kexin Zhang
2025	J	`jnl`	The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss. CoRR Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Hao Wang, Zhiqiang Ge, Daoyi Dong, Yong Li, Qingsong Wen
2024	Misc	`conf`	DCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification. ICASSP Rongyao Cai, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu
2024	J	`jnl`	Debiased Contrastive Learning With Supervision Guidance for Industrial Fault Detection. IEEE Trans. Ind. Informatics Rongyao Cai, Wang Gao, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu
2024	J	`jnl`	Debiased Contrastive Learning for Time-Series Representation Learning and Fault Detection. IEEE Trans. Ind. Informatics Kexin Zhang, Rongyao Cai, Chunlin Zhou, Yong Liu
2024	J	`jnl`	LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation. IEEE Robotics Autom. Lett. Linpeng Peng, Rongyao Cai, Jingyang Xiang, Junyu Zhu, Weiwei Liu, Wang Gao, Yong Liu
2024	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan